{"id":"W2134073797","doi":"10.1177/0020715208093079","title":"Do Fields of Study Matter for Over-education?","year":2008,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Sample (material); German; Demographic economics; Field (mathematics); Position (finance); Selection (genetic algorithm); Higher education; Econometrics; Economics; Sociology; Geography; Economic growth; Statistics; Mathematics; Computer science; Logistic regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003929127,0.0002221567,0.0004214775,0.002270967,0.0006426926,0.002002711,0.0007849374,0.0008301163,0.01173114],"category_scores_gemma":[0.02167634,0.0001609971,0.0006402697,0.00249058,0.001530591,0.001409802,0.001121689,0.001013344,0.0007278295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005759608,"about_ca_system_score_gemma":0.001010345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006826418,"about_ca_topic_score_gemma":0.008768572,"domain_scores_codex":[0.9975253,0.0009693323,0.0002139316,0.0003020685,0.0003529295,0.0006365117],"domain_scores_gemma":[0.9554302,0.02381886,0.01164931,0.001569329,0.001260827,0.006271465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001261405,0.00008358472,0.9879922,0.00004080744,0.00006458483,0.0000897808,0.0006168976,0.00004995824,0.0001030525,0.0004779515,0.0003367698,0.01001836],"study_design_scores_gemma":[0.000007127398,0.0000677808,0.9955782,0.00008761012,0.00002657954,0.0001124679,0.002110769,0.0001076694,0.00005933953,0.000689554,0.001148392,0.000004439545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919797,0.001926513,0.0004275206,0.001711765,0.00005026043,0.00001576957,0.0004566669,0.000008409652,0.003423382],"genre_scores_gemma":[0.9987181,0.0003150968,0.00008503001,0.0001098902,0.00002938789,0.000004725599,0.0001751426,0.000003984492,0.0005585828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01173114,"threshold_uncertainty_score":0.03924459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07215993588707141,"score_gpt":0.3615623479938518,"score_spread":0.2894024121067804,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}